Optimize Resume with AI

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds a behavioral prerequisite ('Requires a connected AI Applyd account') and outlines the output (rewritten resume, score, summary) beyond the annotations. However, it does not disclose any side effects (e.g., whether it modifies stored data), relying on annotations for readOnly and destructive hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, using three sentences to cover purpose, output, parameter usage, and account requirement. There is no redundant or irrelevant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description fully covers what the tool does, its parameters, and its output. It even mentions the account requirement. Given the simplicity of the tool and no output schema, this is complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for both parameters, but the description adds extra context for 'job_description' by explaining the tailoring vs. general use case, which goes beyond the schema's description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (rewrite), the resource (resume), and the goal (pass ATS screening). It also distinguishes itself from siblings by mentioning it returns a rewritten resume, score, and summary, and how it can be tailored with a job description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides explicit guidance on when to include the optional 'job_description' parameter (to tailor) versus omit it (for general optimization). It does not explicitly name alternatives like 'aiapplyd_score_resume', but the parameter usage guidance is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.